Autonomous Optimization with Claude Code
Optimize your infrastructure autonomously every day with Claude Code and Polar Signals
AIClaude Code+1
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Blog - page 2
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Introducing Off-CPU Profiling
How Off-CPU profiling works and how to get the most out of it
ProfilingSystem-Wide+1
Author:
Frederic Branczyk
Reproducible Builds with Next.js: A Practical Guide
A step-by-step guide to achieving reproducible builds with Next.js.
NextjsEngineering Practices+2
Author:
Manoj Vivek
The MCP for performance engineering
Introducing Remote MCP Support in Polar Signals Cloud
Performance AnalysisPerformance+2
Author:
Matthias Loibl
Deterministic Simulation Testing in Rust: A Theater Of State Machines
How we designed our database for complete control over concurrency, time, randomness, and failure injection.
TestingDeterministic Simulation Testing+3
Author:
Alfonso Subiotto Marqués
How Continuous Profiling reduces Engineering Debt and increases Application Performance
Application Performance engineering debt could live a long time without noticed and cause a significant overhead in developing new features, performance and the cost of operation.
Continuous-ProfilingCloud Cost+2
Author:
Batuhan Uslu
New year new database
Bringing what we've learned to our next generation database.
Column DatabaseDatabases
Author:
Thor Hansen
Best Laid Plans
What we learned from building a database
Column DatabaseFrostDB+2
Author:
Thor Hansen
Latest in Continuous Profiling for GPUs
Attending ai.engineer 2025 in San Francisco
ProfilingCorrelation+1
Authors:
Matthias L, Brennan V.
Flame Charts: The Time-Aware Sibling of Flame Graphs
A deep dive into the time-aware visualization that complements traditional flame graphs in performance profiling.
Flame ChartsData Visualization+3
Author:
Manoj Vivek
Sampling PGO
Exploring how well the various forms of PGO work
RustPGO+1
Author:
Tommy Reilly
Enhancing Our Writing Workflow: Adding Markdown Support to Sanity CMS
How we added a Markdown editor to our Sanity setup and other improvements
SanityMarkdown
Author:
Yomi Eluwande
Is Observability Data Sensitive?
Why profiling data is low-risk, high-value observability
ProfilingSecurity+1
Author:
Kanika Sharma
Introducing Profiling GitHub Actions
Record and view profiling data from GitHub Actions runs easier than ever before!
GitHub ActionCI/CD+3
Author:
Frederic Branczyk
Correlate Profiling and Distributed Tracing in Async Rust
Correlate profiles with arbitrary application-specific metadata in async Rust applications
CorrelationTracing+1
Author:
Brennan Vincent
Updated Pricing for Polar Signals Cloud
Making Polar Signals Pricing more predictable and transparent
PricingBilling
Author:
Frederic Branczyk
Maximize GPU Efficiency: Visualize, Analyze, and Optimize with Precision
Introducing Continuous GPU Profiling: Get Performance Insights Over Time
System-WidePython+2
Author:
Matthias Loibl
turbopuffer: Consistently High Performance at Scale
Case Study: How turbopuffer leverages Polar Signals for Continuous Profiling
Case StudyContinuous-Profiling+2
Author:
Kanika Sharma
Unlocking Efficient Memory Profiling and Faster Debugging
"High tail latency for one of our customers, was diagnosed immediately by seeing a large On-CPU time span"
Case StudyContinuous-Profiling+3
Author:
Kanika Sharma
Doubling Throughput with Continuous Profiling and Optimization
“68.37% of CPU [...] with a one-line code change [...] went down to 31.82%”
Case StudyContinuous-Profiling+3
Author:
Kanika Sharma
Polar Signals Achieves SOC 2 Type 2 Compliance
Reinforcing our unwavering commitment to robust security
SecuritySOC2
Author:
Frederic Branczyk
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